Oil contamination monitoring method and system, electronic equipment, medium and computer product

Abstract

The invention provides an oil contamination monitoring method and system, electronic equipment, a medium and a computer product. The oil contamination monitoring method comprises the steps that first draught fan air pressure and a first false resistance coefficient are obtained; acquiring a second motor rotating speed to determine a second fan air pressure and a second false resistance coefficient; first back pressure is determined according to the first fan air pressure and the first false resistance coefficient; second back pressure is determined according to the second fan air pressure and the second false resistance coefficient; determining a first actual resistance coefficient according to the first false resistance coefficient, the first fan air pressure and the first back pressure; determining a second actual resistance coefficient according to the second false resistance coefficient, the second fan air pressure and the second back pressure; and in response to the second actual resistance coefficient greater than the product of the first actual resistance coefficient and the threshold, determining that the range hood generates oil stain. The oil stain deposition degree of the range hood is parametrically judged, so that whether the range hood needs to be cleaned or not can be objectively determined, and the user experience of using the range hood is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of kitchen appliances, and in particular to an oil pollution monitoring method, system, electronic equipment, medium and computer product. Background Art

[0002] After the range hood has been used for a period of time, the internal wall of the range hood will be attached with thick oil stains. If the inside of the range hood (especially the impeller, the inner wall of the volute, etc.) is not cleaned in time, it will affect the use effect of the range hood. The existing technology generally uses the actual physical use time to empirically judge when the range hood needs to be cleaned. For example: it is recommended to manually clean the range hood impeller every six months or one year; or the range hood is self-cleaned when the range hood has been working for 2 hours continuously; or the range hood is self-cleaned when it has not been self-cleaned for 1 month in a row; or the user actively turns on the range hood to activate the self-cleaning program. However, due to the different frequency of kitchen use in each household, different cooking methods and other factors, empirical judgments based on actual physical time cannot accurately evaluate the oil deposition inside the range hood. Therefore, empirical judgment alone will lead to untimely cleaning and heavy oil stains, or waste of cleaning costs if the heavy oil stains are not met. Summary of the invention

[0003] The technical problem to be solved by the present disclosure is to overcome the defect in the prior art that empirical judgment cannot accurately evaluate the oil deposition situation inside the range hood, and to provide an oil monitoring method, system, electronic equipment, medium and computer product.

[0004] The present invention solves the above technical problems through the following technical solutions:

[0005] The present disclosure provides an oil pollution monitoring method, the oil pollution monitoring method comprising:

[0006] Obtain a first fan pressure and a first false resistance coefficient when the range hood is in a clean state; obtain a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient; wherein the first false resistance coefficient is used to characterize the resistance coefficient of the range hood in a clean state when back pressure is superimposed; the first false resistance coefficient is used to characterize the resistance coefficient of the range hood after use when back pressure is superimposed;

[0007] Determine a first back pressure according to the first fan wind pressure and the first false resistance coefficient; determine a second back pressure according to the second fan wind pressure and the second false resistance coefficient;

[0008] A first actual resistance coefficient is determined according to the first false resistance coefficient, the first fan pressure and the first back pressure; a second actual resistance coefficient is determined according to the second false resistance coefficient, the second fan pressure and the second back pressure; wherein the first actual resistance coefficient is used to characterize the resistance coefficient of the range hood when it is in a clean state and without back pressure superimposed; and the second actual resistance coefficient is used to characterize the resistance coefficient of the range hood after use and without back pressure superimposed;

[0009] In response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and a threshold, it is determined that the range hood generates oil stains.

[0010] Optionally, the step of obtaining a first fan pressure and a first false resistance coefficient when the range hood is in a clean state, and obtaining a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient comprises:

[0011] Obtain the first motor speed corresponding to different current values ​​when the range hood is in a clean state; obtain the second motor speed corresponding to different current values ​​after the range hood is used;

[0012] The first fan pressure and the first false resistance coefficient are determined according to the current value and the first motor speed corresponding to the current value; the second fan pressure and the second false resistance coefficient are determined according to the current value and the second motor speed corresponding to the current value.

[0013] Optionally, the step of determining the first back pressure according to the first fan wind pressure and the first false resistance coefficient includes:

[0014] The first back pressure at different current values ​​is calculated according to the following formula:

[0015] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 );

[0016] Where x is used to represent the xth current value among different current values; ∆P is used to represent the first back pressure corresponding to the xth current value; k x Used to characterize the first pseudo resistance coefficient corresponding to the xth current value; k x+1 It is used to characterize the first false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the first fan corresponding to the xth current value; P x+1 Used to represent the first fan wind pressure corresponding to the x+1th current value;

[0017] Determine the average value of the x first back pressures as the final first back pressure value;

[0018] and / or,

[0019] The step of determining the second back pressure according to the second fan wind pressure and the second false resistance coefficient comprises:

[0020] The second back pressure at different current values ​​is calculated according to the following formula:

[0021] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 );

[0022] Where x is used to represent the xth current value among different current values; ∆P is used to represent the second back pressure corresponding to the xth current value; k x Used to characterize the second pseudo resistance coefficient corresponding to the xth current value; k x+1 It is used to characterize the second false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the second fan corresponding to the xth current value; P x+1 Used to represent the wind pressure of the second fan corresponding to the x+1th current value;

[0023] An average value of the x second back pressures is determined as a final second back pressure value.

[0024] Optionally, the step of determining the first actual resistance coefficient according to the first false resistance coefficient, the first fan wind pressure and the first back pressure includes:

[0025] Determine the traversal range of the first back pressure according to the preset floating range;

[0026] In the traversal range, x first actual resistance coefficients corresponding to each first back pressure are determined according to the following formula:

[0027] k jx =k x (1-∆P / P x );

[0028] Among them, k jx Used to characterize the xth first actual drag coefficient; k x It is used to characterize the first pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the first back pressure value within the traversal range; P x Used to represent the wind pressure of the first fan corresponding to the xth current value;

[0029] Determine the variance of x first actual resistance coefficients corresponding to each first back pressure;

[0030] Determine an average value of x first actual drag coefficients with the smallest variance within the traversal range as a final first actual drag coefficient;

[0031] and / or,

[0032] The step of determining the second actual resistance coefficient according to the second false resistance coefficient, the second fan wind pressure and the second back pressure comprises:

[0033] Determine the traversal range of the second back pressure according to the preset floating range;

[0034] In the traversal range, x second actual resistance coefficients corresponding to each second back pressure are determined according to the following formula:

[0035] k jx =k x (1-∆P / P x );

[0036] Among them, k jx Used to characterize the xth second actual drag coefficient; k x It is used to characterize the second pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the second back pressure value within the traversal range; P x Used to represent the wind pressure of the second fan corresponding to the xth current value;

[0037] Determine the variance of x second actual resistance coefficients corresponding to each second back pressure;

[0038] An average value of the x second actual drag coefficients with the smallest variance within the traversal range is determined as the final second actual drag coefficient.

[0039] Optionally, the threshold is greater than or equal to 1.5 and less than or equal to 5.

[0040] Optionally, after the step of determining that the range hood generates oil pollution, the step further includes:

[0041] Send out cleaning reminder signal;

[0042] Wherein, the cleaning prompt signal includes at least one of a text signal, a pattern signal and a sound signal.

[0043] The present disclosure also provides an oil pollution monitoring system, the oil pollution monitoring system comprising:

[0044] An acquisition module is used to acquire a first fan pressure and a first false resistance coefficient when the range hood is in a clean state; acquire a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient; wherein the first false resistance coefficient is used to characterize a resistance coefficient when the range hood is in a clean state and a back pressure is superimposed; the first false resistance coefficient is used to characterize a resistance coefficient when the range hood is in use and a back pressure is superimposed;

[0045] A first determination module, configured to determine a first back pressure according to the first fan wind pressure and the first false resistance coefficient; and determine a second back pressure according to the second fan wind pressure and the second false resistance coefficient;

[0046] A second determination module is used to determine a first actual resistance coefficient according to the first false resistance coefficient, the first fan pressure and the first back pressure; and to determine a second actual resistance coefficient according to the second false resistance coefficient, the second fan pressure and the second back pressure; wherein the first actual resistance coefficient is used to characterize the resistance coefficient of the range hood when it is in a clean state and without back pressure superimposed; and the second actual resistance coefficient is used to characterize the resistance coefficient of the range hood after use and without back pressure superimposed;

[0047] The third determination module is configured to determine that the range hood generates oil pollution in response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and a threshold.

[0048] The present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and used to run on the processor, and the processor implements the above-mentioned oil pollution monitoring method when executing the computer program.

[0049] The present disclosure also provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the above-mentioned oil pollution monitoring method when executed by a processor.

[0050] The present disclosure also provides a computer program product, including a computer program, which implements the above-mentioned oil pollution monitoring method when executed by a processor.

[0051] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0052] The positive and progressive effects of this disclosure are:

[0053] The present invention compares the actual resistance coefficients of the range hood in a clean state and after use. It no longer relies on empirical physical time to judge the degree of oil deposition in the range hood, but instead parametrically judges the degree of oil deposition in the range hood. This can objectively determine whether the range hood needs to be cleaned, thereby improving the user experience of using the range hood. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A flowchart of an oil pollution monitoring method provided in Example 1 of the present disclosure;

[0055] Figure 2 A flowchart of a specific example of an oil pollution monitoring method provided in Example 1 of the present disclosure;

[0056] Figure 3 A schematic diagram of range hood performance of a specific example of an oil pollution monitoring method provided in Example 1 of the present disclosure;

[0057] Figure 4 A structural diagram of an oil pollution monitoring system provided in Example 2 of the present disclosure;

[0058] Figure 5 This is a schematic diagram of the structure of an electronic device according to Embodiment 3 of the present disclosure. DETAILED DESCRIPTION

[0059] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0060] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0061] Example 1

[0062] After the range hood has been used for a period of time, the internal wall of the range hood will be covered with thick oil stains. It is necessary to clean the inside of the range hood (especially the impeller, the inner wall of the volute, etc.) in time to avoid affecting the use of the range hood. There are generally two ways to clean the existing range hood oil stains: regular manual cleaning and range hood self-cleaning. However, these two cleaning methods are usually only empirically judged based on actual physical time, and cannot objectively and accurately evaluate the oil stain deposition inside the range hood. This embodiment provides an oil stain monitoring method, see Figure 1 , oil pollution monitoring methods include:

[0063] S1. Obtain a first fan pressure and a first false resistance coefficient when the range hood is in a clean state, and obtain a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient.

[0064] The first false resistance coefficient is used to characterize the resistance coefficient of the range hood in a clean state when back pressure is superimposed. The first false resistance coefficient is used to characterize the resistance coefficient of the range hood after use when back pressure is superimposed.

[0065] In an optional embodiment, step S1 includes:

[0066] S11, obtaining first motor speeds corresponding to different current values ​​when the range hood is in a clean state, and obtaining second motor speeds corresponding to different current values ​​after the range hood is used.

[0067] S12. Determine a first fan pressure and a first false resistance coefficient according to the current value and a first motor speed corresponding to the current value, and determine a second fan pressure and a second false resistance coefficient according to the current value and a second motor speed corresponding to the current value.

[0068] For a certain DC range hood, the data results of the [n, I, k, Q, P] matrix can be determined through experimental testing, where n is used to characterize the motor speed, I is used to characterize the range hood current value, k is used to characterize the false resistance coefficient, Q is used to characterize the fan air volume, and P is used to characterize the fan air pressure. The mapping relationship between the motor speed and current value and the false resistance coefficient is obtained by formula fitting or proxy model. For example, f(n, I)=k, that is, the false resistance coefficient (k) is determined by the motor speed (n) and the current value (I). The mapping relationship between the current value of the motor speed and the fan pressure can also be obtained. For example, F(n, I)=P, that is, the fan pressure (P) is determined by the motor speed (n) and the current value (I).

[0069] S2. Determine a first back pressure according to the first fan wind pressure and the first false resistance coefficient, and determine a second back pressure according to the second fan wind pressure and the second false resistance coefficient.

[0070] In an optional embodiment, step S2 includes:

[0071] S21. Calculate the first back pressure at different current values ​​according to the following formula:

[0072] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 ).

[0073] Where x is used to represent the xth current value among different current values. ∆P is used to represent the first back pressure corresponding to the xth current value. x Used to characterize the first pseudo resistance coefficient corresponding to the xth current value. k x+1 Used to characterize the first pseudo resistance coefficient corresponding to the x+1th current value. xUsed to represent the first fan wind pressure corresponding to the xth current value. x+1 Used to represent the first fan wind pressure corresponding to the x+1th current value.

[0074] S22. Determine an average value of the x first back pressures as a final first back pressure value.

[0075] In an optional implementation, step S2 may further include:

[0076] S23, calculating the second back pressure at different current values ​​according to the following formula:

[0077] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 ).

[0078] Where x is used to represent the xth current value among different current values. ∆P is used to represent the second back pressure corresponding to the xth current value. x Used to characterize the second pseudo resistance coefficient corresponding to the xth current value. k x+1 It is used to characterize the second pseudo resistance coefficient corresponding to the x+1th current value. x Used to represent the wind pressure of the second fan corresponding to the xth current value. x+1 Used to represent the wind pressure of the second fan corresponding to the x+1th current value.

[0079] S24. Determine an average value of the x second back pressures as a final second back pressure value.

[0080] S3. Determine a first actual resistance coefficient according to the first false resistance coefficient, the first fan pressure, and the first back pressure, and determine a second actual resistance coefficient according to the second false resistance coefficient, the second fan pressure, and the second back pressure.

[0081] The first actual resistance coefficient is used to characterize the resistance coefficient when the range hood is in a clean state and without back pressure. The second actual resistance coefficient is used to characterize the resistance coefficient when the range hood is in use and without back pressure.

[0082] In an optional embodiment, step S3 includes:

[0083] S31. Determine a traversal range of the first back pressure according to a preset floating range.

[0084] The preset floating range is set according to the actual situation. In this embodiment, the preset floating range can be set to 50%.

[0085] S32. Within the traversal range, determine x first actual resistance coefficients corresponding to each first back pressure according to the following formula:

[0086] k jx =k x (1-∆P / P x ).

[0087] Among them, k jx Used to characterize the xth first actual drag coefficient. k x It is used to characterize the first pseudo resistance coefficient corresponding to the xth current value. ∆P is used to characterize the first back pressure value within the traversal range. P x Used to represent the first fan wind pressure corresponding to the xth current value.

[0088] S33. Determine the variance of the x first actual resistance coefficients corresponding to each first back pressure.

[0089] S34. Determine the average value of the x first actual resistance coefficients with the smallest variance within the traversal range as the final first actual resistance coefficient.

[0090] In an optional implementation, step S3 further includes:

[0091] S35. Determine the traversal range of the second back pressure according to the preset floating range.

[0092] The preset floating range is set according to the actual situation. In this embodiment, the preset floating range can be set to 50%.

[0093] S36. Within the traversal range, determine x second actual resistance coefficients corresponding to each second back pressure according to the following formula:

[0094] k jx =k x (1-∆P / P x ).

[0095] Among them, k jx Used to characterize the xth second actual drag coefficient. k x It is used to characterize the second pseudo resistance coefficient corresponding to the xth current value. ∆P is used to characterize the second back pressure value within the traversal range. P x Used to represent the wind pressure of the second fan corresponding to the x-th current value.

[0096] S37: Determine the variance of the x second actual resistance coefficients corresponding to each second back pressure.

[0097] S38. Determine the average value of the x second actual resistance coefficients with the smallest variance within the traversal range as the final second actual resistance coefficient.

[0098] S4. In response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and the threshold, determining that the range hood generates oil stains.

[0099] In an optional implementation, the threshold is greater than or equal to 1.5 and less than or equal to 5.

[0100] This embodiment compares the actual resistance coefficient of the range hood in a clean state and after use. It no longer relies on empirical physical time to judge the degree of oil deposition in the range hood, but instead parametrically judges the degree of oil deposition in the range hood. This can objectively determine whether the range hood needs to be cleaned, thereby improving the user experience of using the range hood.

[0101] In an optional embodiment, step S4 includes:

[0102] S5. Send a cleaning reminder signal.

[0103] The cleaning prompt signal includes at least one of a text signal, a pattern signal and a sound signal.

[0104] In this embodiment, a significant cleaning reminder signal can be used to remind the user to clean the range hood in time, thereby maintaining the use effect of the range hood.

[0105] A specific example is introduced below to explain the oil pollution monitoring method of this embodiment in detail. In this example, the range hood in a clean state is called a clean hood, and the same range hood after use is called an oil pollution hood. A multi-blade centrifugal fan is generally used inside the range hood. When the multi-blade centrifugal fan is in operation, a negative pressure is generated at the inlet of the range hood, which sucks the oil smoke into the fan and then discharges it to the public flue at the outlet of the range hood. When oil pollution is deposited in the impeller and the volute, it changes the performance of the multi-blade centrifugal fan, which generally reduces the performance of the range hood. Therefore, the more serious the oil pollution deposition, the greater the performance gap between the clean hood and the oil pollution hood.

[0106] Figure 2 This is the process framework diagram of this example. As shown in the figure, the process framework of this example is as follows:

[0107] S201. Conduct performance tests on clean range hoods in the laboratory.

[0108] S202, respectively obtaining the mapping relationship between the motor speed and current value and the false resistance coefficient, and the mapping relationship between the motor speed and the current value and the fan pressure for the clean hood and the oily hood.

[0109] Among them, the mapping relationship between the motor speed and current value and the false resistance coefficient f(n, I) = k and the mapping relationship between the motor speed and the current value and the fan wind pressure F(n, I) = P are both obtained through the matrix [n, I, k, Q, P]. The acquisition of this matrix can be achieved through the following laboratory test:

[0110] The range hood is tested on the air volume table. A fixed orifice plate and current value I are set. The motor speed n, fan air volume Q, and fan air pressure P are read at this time. During the experiment, the current value I is constantly changed, and the test results of each working condition are read. The test under the orifice plate is completed. Then the orifice plate is replaced and the above actions are repeated to obtain the test results of each working condition under another orifice plate. The above steps are repeated until the test of all orifice plates is completed to obtain the matrix [n, I, k, Q, P].

[0111] S203, executing the scanning procedure of the clean range hood.

[0112] Among them, the scanning procedure of the clean smoke machine is as follows:

[0113] The first step is to give x current values ​​I corresponding to different working conditions. The value of I is as evenly distributed as possible between the strong and weak gears of the range hood, and the range hood operates in x different working conditions. The value of x ranges from 5 to 12, preferably 6 or 7.

[0114] Step 2: For working condition x, obtain f j (n x , I x )=k x , that is, obtain the first motor speed n x and current value I x and the first false drag coefficient k x Get the mapping relationship of F j (n x , I x )=P x , that is, obtain the first motor speed n x and current value I x The wind pressure of the first fan P x The mapping relationship.

[0115] Step 3: Since there are x working conditions, there is a relationship k j1 =k 1 (1-∆P / P 1 );k j2 =k 2 (1-∆P / P 2 )…;k jx =k x (1-∆P / P x ), where k j1 , k j2 …k jx Used to characterize the first actual resistance coefficient of the range hood under different working conditions, k 1 , k 2 …k x It is used to characterize the first false resistance coefficient of the range hood under different working conditions. ∆P is used to characterize the first back pressure of the public flue. 1 , P2 …P x Used to characterize the wind pressure of the first fan under different working conditions.

[0116] Theoretically, k j =k j1 =k j2 =…=k jx , but the actual calculated value has a certain deviation, so the final first actual resistance coefficient k is determined by determining the minimum variance j :

[0117] First, determine the final first back pressure value and the traversal range of the first back pressure.

[0118] By k 1 (1-∆P / P 1 )=k 2 (1-∆P / P 2 ) Solve for ∆P 1 , by k 2 (1-∆P / P 2 )=k 3 (1-∆P / P 3 ) Solve for ∆P 2 …, k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 ) Solve for ∆P x , and then for ∆P 1 ,∆P 2 …∆P x Take the average value and give a preset floating range of 50% to determine the upper and lower limits of ∆P. For example, if the average value of ∆P is 3, the lower limit of ∆P is 1.5 and the upper limit of ∆P is 4.5.

[0119] Then, for a given ∆P, calculate k j1 , k j2 …k jx The variance of the minimum variance is k. j1 , k j2 …k jx The first actual drag coefficient k is determined by the average value of j .

[0120] For example: If the traversal range of ∆P is [2, 4], when calculating ∆P=2, k j1 , k j2 …k jx Variance , ,in, When ∆P=2, k j1 , k j2 …kjx The average value of .

[0121] When ∆P=3, k j1 , k j2 …k jx Variance , ,in, When ∆P=3, k j1 , k j2 …k jx The average value of .

[0122] When ∆P=4, k j1 , k j2 …k jx Variance , ,in, When ∆P=4, k j1 , k j2 …k jx The average value of .

[0123] like , then for k when ∆P=3 j1 , k j2 …k jx Find the average value and determine the final first actual resistance coefficient k j . k j The table is used to collect the resistance coefficient of the air duct structure behind the outlet of the user's range hood.

[0124] S204: Storing the first actual resistance coefficient k j .

[0125] S205, executing the scanning procedure of the oil hood.

[0126] Among them, the scanning procedure of the oil hood is as follows:

[0127] The first step is to give x current values ​​I corresponding to different working conditions. The value of I is as evenly distributed as possible between the strong and weak gears of the range hood, and the range hood operates in x different working conditions. The value of x ranges from 5 to 12, preferably 6 or 7.

[0128] Step 2: For working condition x, obtain f y (n w , I x )=k w , that is, obtain the second motor speed n w and current value I x and the second false drag coefficient k w Get the mapping relationship of F y (n w , I x )=Pw , that is, obtain the second motor speed n w and current value I x and the second fan pressure P w The mapping relationship.

[0129] Step 3: Since there are x working conditions, there is a relationship k y1 =k 1 (1-∆P / P 1 );k y2 =k 2 (1-∆P / P 2 )…;k yx =k w (1-∆P / P w ), where k y1 , k y2 …k yx Used to characterize the second actual resistance coefficient of the range hood under different working conditions, k 1 , k 2 …k w It is used to characterize the second false resistance coefficient of the range hood under different working conditions. ∆P is used to characterize the second back pressure of the public flue. 1 , P 2 …P w Used to characterize the wind pressure of the second fan under different working conditions. Wherein, the values ​​of w and x are equal.

[0130] Theoretically, k y =k y1 =k y2 =…=k yx , but the actual calculated value has a certain deviation, so the final first actual resistance coefficient k is determined by determining the minimum variance y :

[0131] First, determine the final second back pressure value and the traversal range of the second back pressure.

[0132] By k 1 (1-∆P / P 1 )=k 2 (1-∆P / P 2 ) Solve for ∆P 1 , by k 2 (1-∆P / P 2 )=k 3 (1-∆P / P 3 ) Solve for ∆P 2 …, k w (1-∆P / P w )=k w+1 (1-∆P / P w+1 ) Solve for ∆P w , and then for ∆P1 ,∆P 2 …∆P w Take the average value and give a preset floating range of 50% to determine the upper and lower limits of ∆P. For example, if the average value of ∆P is 3, the lower limit of ∆P is 1.5 and the upper limit of ∆P is 4.5.

[0133] Then, for a given ∆P, calculate k y1 , k y2 …k yx The variance of the minimum variance is k. y1 , k y2 …k yx The average value of the second actual drag coefficient k is determined y .

[0134] For example: If the traversal range of ∆P is [2, 4], when calculating ∆P=2, k y1 , k y2 …k yx Variance , ,in, When ∆P=2, k y1 , k y2 …k yx The average value of .

[0135] When ∆P=3, k y1 , k y2 …k yx Variance , ,in, When ∆P=3, k y1 , k y2 …k yx The average value of .

[0136] When ∆P=4, k y1 , k y2 …k yx Variance , ,in, When ∆P=4, k y1 , k y2 …k yx The average value of .

[0137] like , then for k when ∆P=3 y1 , k y2 …k yx Find the average value and determine the final second actual resistance coefficient k y .

[0138] [n, I, k, Q, P] matrix and f of clean hood j (n x , I x )=k x and F j (n x , I x )=P x The mapping relationship is accurate and is determined by laboratory testing before leaving the factory. y (n w , I x )=k w and F y (n w , I x )=P w If the accurate [n, I, k, Q, P] matrix and f of the oil hood are measured by the laboratory air volume bench, the range hood needs to be tested again on the laboratory air volume bench. y (n w , I x )=k w and F y (n w , I x )=P w The mapping relationship between the k y It should be the same as the k obtained after the clean smoke machine is scanned j The difference is very small, because the structural resistance of the air duct behind the range hood in the user's home is generally considered to be basically unchanged.

[0139] However, although the resistance of the air duct structure behind the user's range hood is generally considered to be basically unchanged, the back pressure of the public flue will change, so the use of range hoods in different users in the building cannot be determined. When the laboratory tests the performance of range hoods, there is no back pressure of the public flue. Therefore, the false resistance coefficient is not equal to the actual resistance coefficient. Figure 3 As shown, Figure 3 The horizontal axis is used to represent the fan air volume, the vertical axis is used to represent the fan pressure, (Q1, P1) is used to represent the fan air volume and fan pressure under the current working conditions, the short dashed line is used to represent the laboratory resistance (false resistance) curve, the solid line is used to represent the user's home resistance curve, because the user's home also needs to consider the influence of ∆P back pressure, and the dotted line is used to represent the performance of the range hood.

[0140] Under the same fan pressure and fan air volume, according to P1=k 实际 Q1 2 +∆P,P1=k 虚假 Q1 2 k 实际 =k虚假 (1-∆P / P1). k 实际 Used to characterize the actual drag coefficient, k 虚假 Used to characterize the false resistance coefficient. As the oil deposit in the range hood becomes more serious, the actual resistance coefficient of the range hood will become larger and larger. The degree of oil deposit in the range hood can be known by comparing the first actual resistance coefficient and the second actual resistance coefficient.

[0141] In addition, it is important to note that ∆P remains essentially unchanged over a short period of time, so during the same scan program run, ∆P can be considered a constant. However, when comparing the initial scan with the scan after a period of time, ∆P will change, so the effect of ∆P on the false drag coefficient also needs to be considered.

[0142] S206: Storing the second actual resistance coefficient k y .

[0143] S207, determine whether k y >s.k j If so, it is determined that the range hood needs to be cleaned, if not, it is determined that the range hood does not need to be cleaned.

[0144] Where s is used to represent the threshold, and s can be selected from 1.5 to 5.

[0145] This example no longer relies on empirical physical time to judge whether the range hood needs to be cleaned, and implements parametric evaluation of the degree of oil deposits in the range hood. The motor parameters, as well as preset functions and programs are used for judgment. No additional equipment is introduced, and the range hood structure is not changed, which does not increase the cost. It is universal for DC range hoods. It also solves the problem of false resistance coefficient measured in the laboratory, considers the impact of the back pressure ∆P change of the user's home public pipeline on the calculation of the resistance of the user's home duct structure, and improves the accuracy of judging whether the range hood has oil.

[0146] Example 2

[0147] Corresponding to the aforementioned oil pollution monitoring method embodiment, the present disclosure also provides an embodiment of an oil pollution monitoring system.

[0148] See also Figure 4 , the oil pollution monitoring system includes:

[0149] The acquisition module 1 is used to obtain the first fan pressure and the first false resistance coefficient of the range hood in a clean state. The second motor speed after the range hood is used is obtained to determine the second fan pressure and the second false resistance coefficient. Among them, the first false resistance coefficient is used to characterize the resistance coefficient of the range hood in a clean state when the back pressure is superimposed. The first false resistance coefficient is used to characterize the resistance coefficient of the range hood after use when the back pressure is superimposed.

[0150] The first determination module 2 is configured to determine a first back pressure according to a first fan wind pressure and a first false resistance coefficient, and to determine a second back pressure according to a second fan wind pressure and a second false resistance coefficient.

[0151] The second determination module 3 is used to determine the first actual resistance coefficient according to the first false resistance coefficient, the first fan pressure and the first back pressure. The second actual resistance coefficient is determined according to the second false resistance coefficient, the second fan pressure and the second back pressure. The first actual resistance coefficient is used to characterize the resistance coefficient of the range hood when it is in a clean state and without back pressure. The second actual resistance coefficient is used to characterize the resistance coefficient of the range hood after use and without back pressure.

[0152] The third determination module 4 is configured to determine that the range hood generates oil pollution in response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and the threshold.

[0153] In an optional implementation, the threshold is greater than or equal to 1.5 and less than or equal to 5.

[0154] In an optional embodiment, the acquisition module 1 is further used to obtain the first motor speed corresponding to different current values ​​when the range hood is in a clean state; and to obtain the second motor speed corresponding to different current values ​​after the range hood is used.

[0155] The first determination module 2 is also used to determine the first fan pressure and the first false resistance coefficient according to the current value and the first motor speed corresponding to the current value; and to determine the second fan pressure and the second false resistance coefficient according to the current value and the second motor speed corresponding to the current value.

[0156] In an optional implementation, the first determination module 2 is further configured to calculate the first back pressure at different current values ​​according to the following formula:

[0157] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 );

[0158] Where x is used to represent the xth current value among different current values; ∆P is used to represent the first back pressure corresponding to the xth current value; k x Used to characterize the first pseudo resistance coefficient corresponding to the xth current value; k x+1 It is used to characterize the first false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the first fan corresponding to the xth current value; P x+1 It is used to characterize the first fan wind pressure corresponding to the x+1th current value. It is also used to determine the average value of the x first back pressures as the final first back pressure value.

[0159] In an optional implementation, the first determination module 2 is further configured to calculate the second back pressure at different current values ​​according to the following formula:

[0160] k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 );

[0161] Where x is used to represent the xth current value among different current values; ∆P is used to represent the second back pressure corresponding to the xth current value; k x Used to characterize the second pseudo resistance coefficient corresponding to the xth current value; k x+1 It is used to characterize the second false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the second fan corresponding to the xth current value; P x+1 It is used to characterize the second fan wind pressure corresponding to the x+1th current value. It is also used to determine the average value of the x second back pressures as the final second back pressure value.

[0162] In an optional embodiment, the second determination module 3 is further used to determine the traversal range of the first back pressure according to the preset floating range. It is also used to determine x first actual resistance coefficients corresponding to each first back pressure within the traversal range according to the following formula:

[0163] k jx =k x (1-∆P / P x );

[0164] Among them, k jx Used to characterize the xth first actual drag coefficient; k x It is used to characterize the first pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the first back pressure value within the traversal range; P x Used to represent the first fan wind pressure corresponding to the xth current value.

[0165] The second determination module 3 is further used to determine the variance of the x first actual resistance coefficients corresponding to each first back pressure; and is further used to determine the average value of the x first actual resistance coefficients with the smallest variance within the traversal range as the final first actual resistance coefficient.

[0166] In an optional embodiment, the second determination module 3 is further used to determine the traversal range of the second back pressure according to the preset floating range; and is further used to determine x second actual resistance coefficients corresponding to each second back pressure within the traversal range according to the following formula:

[0167] k jx =k x (1-∆P / Px );

[0168] Among them, k jx Used to characterize the xth second actual drag coefficient; k x It is used to characterize the second pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the second back pressure value within the traversal range; P x Used to characterize the second fan wind pressure corresponding to the xth current value; also used to determine the variance of x second actual resistance coefficients corresponding to each second back pressure; and also used to determine the average value of the x second actual resistance coefficients with the smallest variance within the traversal range as the final second actual resistance coefficient.

[0169] In an optional embodiment, the oil pollution monitoring system further includes:

[0170] The prompt module 5 is used to send a cleaning prompt signal.

[0171] The cleaning prompt signal includes at least one of a text signal, a pattern signal and a sound signal.

[0172] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, in which the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution.

[0173] Example 3

[0174] Figure 5 This is a schematic diagram of the structure of an electronic device showing an example embodiment of the present disclosure, wherein the electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor, and when the processor executes the computer program, the oil pollution monitoring method of any of the above embodiments is implemented. Figure 5 The electronic device 50 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0175] like Figure 5 As shown, the electronic device 50 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 50 may include, but are not limited to: at least one processor 51, at least one memory 52, and a bus 53 connecting different system components (including the memory 52 and the processor 51).

[0176] The bus 53 includes a data bus, an address bus, and a control bus.

[0177] The memory 52 may include a volatile memory, such as a random access memory (RAM) 521 and / or a cache memory 522 , and may further include a read-only memory (ROM) 523 .

[0178] The memory 52 may also include a program tool 525 (or utility) having a set (at least one) of program modules 524, such program modules 524 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0179] The processor 51 executes various functional applications and data processing by running the computer program stored in the memory 52, such as the oil pollution monitoring method provided in any of the above embodiments.

[0180] The electronic device 50 may also communicate with one or more external devices 54 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 55. In addition, the electronic device 50 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 56. As shown, the network adapter 56 communicates with other modules of the electronic device 50 via a bus 53. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 50, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0181] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0182] Example 4

[0183] The embodiments of the present disclosure also provide a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the oil pollution monitoring method provided in any of the above embodiments is implemented.

[0184] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0185] Example 5

[0186] The embodiments of the present disclosure also provide a computer program product, including a computer program, which implements any of the above-mentioned oil pollution monitoring methods when executed by a processor.

[0187] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0188] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A method for monitoring oil pollution, characterized in that: Oil pollution monitoring methods include: Obtain a first fan pressure and a first false resistance coefficient when the range hood is in a clean state; obtain a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient; wherein the first false resistance coefficient is used to characterize the resistance coefficient of the range hood in a clean state when back pressure is superimposed; the first false resistance coefficient is used to characterize the resistance coefficient of the range hood after use when back pressure is superimposed; Determine a first back pressure according to the first fan wind pressure and the first false resistance coefficient; determine a second back pressure according to the second fan wind pressure and the second false resistance coefficient; A first actual resistance coefficient is determined according to the first false resistance coefficient, the first fan pressure and the first back pressure; a second actual resistance coefficient is determined according to the second false resistance coefficient, the second fan pressure and the second back pressure; wherein the first actual resistance coefficient is used to characterize the resistance coefficient of the range hood when it is in a clean state and without back pressure superimposed; and the second actual resistance coefficient is used to characterize the resistance coefficient of the range hood after use and without back pressure superimposed; In response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and a threshold, it is determined that the range hood generates oil stains.

2. The oil pollution monitoring method according to claim 1, characterized in that: The steps of obtaining the first fan pressure and the first false resistance coefficient of the range hood in a clean state, and obtaining the second motor speed after the range hood is used to determine the second fan pressure and the second false resistance coefficient include: Obtain the first motor speed corresponding to different current values ​​when the range hood is in a clean state; obtain the second motor speed corresponding to different current values ​​after the range hood is used; The first fan pressure and the first false resistance coefficient are determined according to the current value and the first motor speed corresponding to the current value; the second fan pressure and the second false resistance coefficient are determined according to the current value and the second motor speed corresponding to the current value.

3. The oil pollution monitoring method according to claim 2, characterized in that: The step of determining the first back pressure according to the first fan wind pressure and the first false resistance coefficient comprises: The first back pressure at different current values ​​is calculated according to the following formula: k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 ); Where x is used to represent the xth current value among different current values; ∆P is used to represent the first back pressure corresponding to the xth current value; k x Used to characterize the first pseudo resistance coefficient corresponding to the xth current value; k x+1 Used to characterize the first false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the first fan corresponding to the xth current value; P x+1 Used to represent the first fan wind pressure corresponding to the x+1th current value; Determine the average value of the x first back pressures as the final first back pressure value; and / or, The step of determining the second back pressure according to the second fan wind pressure and the second false resistance coefficient comprises: The second back pressure at different current values ​​is calculated according to the following formula: k x (1-∆P / P x )=k x+1 (1-∆P / P x+1 ); Where x is used to represent the xth current value among different current values; ∆P is used to represent the second back pressure corresponding to the xth current value; k x Used to characterize the second pseudo resistance coefficient corresponding to the xth current value; k x+1 It is used to characterize the second false resistance coefficient corresponding to the x+1th current value; P x It is used to represent the wind pressure of the second fan corresponding to the xth current value; P x+1 Used to represent the wind pressure of the second fan corresponding to the x+1th current value; An average value of the x second back pressures is determined as a final second back pressure value.

4. The oil pollution monitoring method according to claim 3, characterized in that: The step of determining the first actual resistance coefficient according to the first false resistance coefficient, the first fan wind pressure and the first back pressure comprises: Determine the traversal range of the first back pressure according to the preset floating range; In the traversal range, x first actual resistance coefficients corresponding to each first back pressure are determined according to the following formula: k jx =k x (1-∆P / P x ); Among them, k jx Used to characterize the xth first actual drag coefficient; k x It is used to characterize the first pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the first back pressure value within the traversal range; P x Used to represent the wind pressure of the first fan corresponding to the xth current value; Determine the variance of x first actual resistance coefficients corresponding to each first back pressure; Determine an average value of x first actual drag coefficients with the smallest variance within the traversal range as a final first actual drag coefficient; and / or, The step of determining the second actual resistance coefficient according to the second false resistance coefficient, the second fan wind pressure and the second back pressure comprises: Determine the traversal range of the second back pressure according to the preset floating range; In the traversal range, x second actual resistance coefficients corresponding to each second back pressure are determined according to the following formula: k jx =k x (1-∆P / P x ); Among them, k jx Used to characterize the xth second actual drag coefficient; k x It is used to characterize the second pseudo resistance coefficient corresponding to the xth current value; ∆P is used to characterize the second back pressure value within the traversal range; P x Used to represent the wind pressure of the second fan corresponding to the xth current value; Determine the variance of x second actual resistance coefficients corresponding to each second back pressure; An average value of the x second actual drag coefficients with the smallest variance within the traversal range is determined as the final second actual drag coefficient.

5. The oil pollution monitoring method according to claim 1, characterized in that: The threshold is greater than or equal to 1.5 and less than or equal to 5.

6. The oil pollution monitoring method according to claim 1, characterized in that: The step of determining that the range hood generates oil pollution comprises: Send out cleaning reminder signal; Wherein, the cleaning prompt signal includes at least one of a text signal, a pattern signal and a sound signal.

7. An oil pollution monitoring system, characterized in that: The oil pollution monitoring system comprises: An acquisition module is used to acquire a first fan pressure and a first false resistance coefficient when the range hood is in a clean state; acquire a second motor speed after the range hood is used to determine a second fan pressure and a second false resistance coefficient; wherein the first false resistance coefficient is used to characterize a resistance coefficient when the range hood is in a clean state and a back pressure is superimposed; the first false resistance coefficient is used to characterize a resistance coefficient when the range hood is in use and a back pressure is superimposed; A first determination module, configured to determine a first back pressure according to the first fan wind pressure and the first false resistance coefficient; and determine a second back pressure according to the second fan wind pressure and the second false resistance coefficient; A second determination module is used to determine a first actual resistance coefficient according to the first false resistance coefficient, the first fan pressure and the first back pressure; and to determine a second actual resistance coefficient according to the second false resistance coefficient, the second fan pressure and the second back pressure; wherein the first actual resistance coefficient is used to characterize the resistance coefficient of the range hood when it is in a clean state and without back pressure superimposed; and the second actual resistance coefficient is used to characterize the resistance coefficient of the range hood after use and without back pressure superimposed; The third determination module is configured to determine that the range hood generates oil stains in response to the second actual resistance coefficient being greater than the product of the first actual resistance coefficient and a threshold.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the oil pollution monitoring method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the oil pollution monitoring method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the oil pollution monitoring method according to any one of claims 1 to 6 is implemented.

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